Literature DB >> 23260025

Advances in binding free energies calculations: QM/MM-based free energy perturbation method for drug design.

R S Rathore1, M Sumakanth, M Siva Reddy, P Reddanna, Allam Appa Rao, Mark D Erion, M R Reddy.   

Abstract

Multiple approaches have been devised and evaluated to computationally estimate binding free energies. Results using a recently developed Quantum Mechanics (QM)/Molecular Mechanics (MM) based Free Energy Perturbation (FEP) method suggest that this method has the potential to provide the most accurate estimation of binding affinities to date. The method treats ligands/inhibitors using QM while using MM for the rest of the system. The method has been applied and validated for a structurally diverse set of fructose 1,6- bisphosphatase (FBPase) inhibitors suggesting that the approach has the potential to be used as an integral part of drug discovery for both lead identification lead optimization, where there is a structure available. In addition, this QM/MM-based FEP method was shown to accurately replicate the anomalous hydration behavior exhibited by simple amines and amides suggesting that the method may also prove useful in predicting physical properties of molecules. While the method is about 5-fold more computationally demanding than conventional FEP, it has the potential to be less demanding on the end user since it avoids development of MM force field parameters for novel ligands and thereby eliminates this time-consuming step that often contributes significantly to the inaccuracy of binding affinity predictions using conventional FEP methods. The QM/MM-based FEP method has been extensively tested with respect to important considerations such as the length of the simulation required to obtain satisfactory convergence in the calculated relative solvation and binding free energies for both small and large structural changes between ligands. Future automation of the method and parallelization of the code is expected to enhance the speed and increase its use for drug design and lead optimization.

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Year:  2013        PMID: 23260025     DOI: 10.2174/1381612811319260002

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  9 in total

1.  Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discovery.

Authors:  Tai-Sung Lee; Bryce K Allen; Timothy J Giese; Zhenyu Guo; Pengfei Li; Charles Lin; T Dwight McGee; David A Pearlman; Brian K Radak; Yujun Tao; Hsu-Chun Tsai; Huafeng Xu; Woody Sherman; Darrin M York
Journal:  J Chem Inf Model       Date:  2020-09-16       Impact factor: 4.956

2.  Fast and Effective Prediction of the Absolute Binding Free Energies of Covalent Inhibitors of SARS-CoV-2 Main Protease and 20S Proteasome.

Authors:  Jiao Zhou; Arjun Saha; Ziwei Huang; Arieh Warshel
Journal:  J Am Chem Soc       Date:  2022-04-18       Impact factor: 16.383

3.  Artocarpus altilis CG-901 alters critical nodes in the JH1-kinase domain of Janus kinase 2 affecting upstream JAK/STAT3 signaling.

Authors:  Oyekanmi Nash; Olaposi Omotuyi; Joonku Lee; Byoung-Mog Kwon; Lucy Ogbadu
Journal:  J Mol Model       Date:  2015-10-07       Impact factor: 1.810

4.  Development of a Robust Indirect Approach for MM → QM Free Energy Calculations That Combines Force-Matched Reference Potential and Bennett's Acceptance Ratio Methods.

Authors:  Timothy J Giese; Darrin M York
Journal:  J Chem Theory Comput       Date:  2019-09-17       Impact factor: 6.006

5.  Use of Interaction Energies in QM/MM Free Energy Simulations.

Authors:  Phillip S Hudson; H Lee Woodcock; Stefan Boresch
Journal:  J Chem Theory Comput       Date:  2019-07-02       Impact factor: 6.006

6.  Characterizing the Hot Spots Involved in RON-MSPβ Complex Formation Using In Silico Alanine Scanning Mutagenesis and Molecular Dynamics Simulation.

Authors:  Omid Zarei; Maryam Hamzeh-Mivehroud; Silvia Benvenuti; Fulya Ustun-Alkan; Siavoush Dastmalchi
Journal:  Adv Pharm Bull       Date:  2017-04-13

7.  The Good, the Bad, and the Ugly: "HiPen", a New Dataset for Validating (S)QM/MM Free Energy Simulations.

Authors:  Fiona L Kearns; Luke Warrensford; Stefan Boresch; H Lee Woodcock
Journal:  Molecules       Date:  2019-02-14       Impact factor: 4.411

8.  Accelerating QM/MM Free Energy Computations via Intramolecular Force Matching.

Authors:  Phillip S Hudson; Stefan Boresch; David M Rogers; H Lee Woodcock
Journal:  J Chem Theory Comput       Date:  2018-11-15       Impact factor: 6.006

Review 9.  Enzyme Models-From Catalysis to Prodrugs.

Authors:  Zeinab Breijyeh; Rafik Karaman
Journal:  Molecules       Date:  2021-05-28       Impact factor: 4.411

  9 in total

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